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Jill Oeding; Theresa Gunn; Jamie Seitz – Open Praxis, 2024
This quantitative study is designed to help educational institutions and instructors make informed decisions regarding the use of online proctoring software. The researchers studied the impact of proctoring software in online courses by comparing the final grades of two groups of online, undergraduate students who took the same online course with…
Descriptors: Supervision, Computer Software, Online Courses, Grades (Scholastic)
Xuandong Zhao – ProQuest LLC, 2024
The rapid advancement of powerful Large Language Models (LLMs), such as ChatGPT and Llama, has revolutionized the world by bringing new creative possibilities and enhancing productivity. However, these advancements also pose significant challenges and risks, including the potential for misuse in the form of fake news, academic dishonesty,…
Descriptors: Computational Linguistics, Intellectual Property, Artificial Intelligence, Productivity
Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software
Daire Maria Ni Uanachain; Lila Ibrahim Aouad – Thresholds in Education, 2025
This chapter investigates the dual role of Generative AI (GenAI) in providing support and feedback to students and in reshaping formative and summative educational assessments, addressing both the burgeoning opportunities for enhancing teaching methodologies and the associated ethical challenges. There is a focus on the necessity for balanced…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Dewar, Cynthia – ProQuest LLC, 2023
This study examined California Community Colleges' administrator decisions about online proctoring software during the COVID-19 global pandemic between March 2020 and June 2022. Understanding how decisions were made, by whom, what information was considered, and how information was evaluated can support more informed decision making regarding…
Descriptors: Community Colleges, Computer Software, Computer Assisted Testing, COVID-19
Surahman, Ence; Wang, Tzu-Hua – Journal of Computer Assisted Learning, 2022
Background: Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental issues in the context of an online assessment. However, little systematic work currently exists on how researchers have explored AD and TA issues in online assessment practice. Objectives: Hence, this research aimed at investigating the latest findings regarding…
Descriptors: Ethics, Trust (Psychology), Computer Assisted Testing, Educational Technology
Jenkins, Baylee D.; Golding, Jonathan M.; Le Grand, Alexis M.; Levi, Mary M.; Pals, Andrea M. – Teaching of Psychology, 2023
Background: The COVID-19 pandemic led to significant, unforeseen changes in classroom instructions, including the evaluation of students. Objective: The purpose of this study was to investigate college students' cheating both before and during the COVID-19 pandemic in terms of (a) preponderance of cheating, (b) the factors that may have led to an…
Descriptors: COVID-19, Pandemics, Cheating, Student Behavior
Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José A.; Burbano Astaiza, Claudia Patricia; Solarte, Mario; Ramirez-Gonzalez, Gustavo; Alexandron, Giora – Journal of Computer Assisted Learning, 2022
Background: Small private online courses (SPOCs) are one of the strategies to introduce the massive open online courses (MOOCs) within the university environment and to have these courses validates for academic credit. However, numerous researchers have highlighted that academic dishonesty is greatly facilitated by the online context in which…
Descriptors: Learning Analytics, Cheating, Integrated Learning Systems, Intervention
Editorial Projects in Education, 2024
Addressing academic integrity in the age of AI is essential to ensure honesty and student success. This Spotlight will help you learn about how educators nationwide are approaching AI in teaching and learning; review data investigating how many students are actually using AI to cheat; examine strategies teachers are using to fight AI cheating;…
Descriptors: Integrity, Artificial Intelligence, Teaching Methods, Computer Software
Eaton, Sarah Elaine; Crossman, Katherine; Behjat, Laleh; Yates, Robin Michael; Fear, Elise; Trifkovic, Milana – Journal of Academic Ethics, 2020
This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study,…
Descriptors: Computer Software, Plagiarism, College Students, Engineering Education
Pàmies, Maria del Mar; Valverde, Mireia; Cross, Christine – Assessment & Evaluation in Higher Education, 2020
This article examines the management of the seemingly ubiquitous problem of plagiarism by students in higher education. An integrated review of the conceptual and empirical literature to date is undertaken in the pursuit of two objectives. First, to provide structure to the scattered knowledge about the topic, which is achieved by developing a…
Descriptors: Plagiarism, Educational Research, College Students, Cheating
Luck, Jo-Anne; Chugh, Ritesh; Turnbull, Darren; Rytas Pember, Edward – Higher Education Research and Development, 2022
Increasing incidents of academic dishonesty are a problem for universities globally. The traditional approach to dealing with academic dishonesty has been to detect and punish, which may not be the best solution. This study explored the perceptions of sessional teaching staff (a growing but often neglected workforce) on academic integrity and…
Descriptors: Integrity, Cheating, Universities, Teacher Attitudes
Okada, Alexandra; Whitelock, Denise; Holmes, Wayne; Edwards, Chris – British Journal of Educational Technology, 2019
Authenticating the students' identity and authenticity of their work is increasingly important to reduce academic malpractices and for quality assurance purposes in Education. There is a growing body of research about technological innovations to combat cheating and plagiarism. However, the literature is very limited on the impact of…
Descriptors: Student Attitudes, Technology Uses in Education, Educational Technology, Distance Education
Alessio, Helaine; Maurer, Karsten – Journal on Excellence in College Teaching, 2018
With the meteoric rise of online course offerings, the development and adoption of software tools has been integral to the quality of the educational experience. There are substantial concerns regarding academic integrity during online test taking, which sacrifices much of the instructor's control over the testing environment in favor of allowing…
Descriptors: Video Technology, Supervision, Online Courses, Computer Assisted Testing
Ullah, Abrar; Xiao, Hannan; Barker, Trevor – Education and Information Technologies, 2019
Online examinations are an integral component of online learning environments and research studies have identified academic dishonesty as a critical threat to the credibility of such examinations. Academic dishonesty exists in many forms. Collusion is seen as a major security threat, wherein a student invites a third party for help or to…
Descriptors: Usability, Information Security, Computer Assisted Testing, Online Courses